Deep Learning Approaches for Natural Language Processing: A Survey

Emma Brown | DOI: 10.1234/journal.v1.1.003

This survey paper reviews recent advances in deep learning for natural language processing (NLP). We cover transformer architectures, BERT models, and GPT variants, analyzing their performance on various NLP tasks including sentiment analysis, machine translation, and question answering. The review...